DOE (Design of Experiments) - Basic

Learn and improve your career prospect and help your organization to improve efficiency.

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Course Deliverables:

DOE is a structured statistical approach to improve a product/process performance. In DOE with a small number of experimental runs & very large data, significant improvements to process can be made.


How You Will Benefit:

  • Understand of Why design of experiments (DOE) are more efficient and effective than one-at-a-time
  • Understand of Operational Acceptance Testing(OAT) experimentation
  • How to use the major terms used in designed experiments mean
  • Types of designed experiments and when they are best used
  • How to use basic tests of significance
  • How to plan a designed experiment.

Course Methodology

  • Presentations
  • Games
  • Case Studies
  • Audio – Video
  • Desk Top Exercise
  • Learning by Doing
  • Role Modeling

Who Should Attend?

Engineers, Design, technical support personnel in Process Improvement, QMS, / Lean, Six Sigma, Quality, Production

Course Content

Day 1

  • What is DOE?
  • Objective of DOE
  • Principle of DOE
  • Common Statistical Designs(Including Full Factorial & Fractional Factorial designs)
  • Taguchi Methods
  • Planning for Experiment

What’s Included?

  • Specialized manual and course materials
  • Instruction by an expert facilitator
  • Small interactive classes
  • Personalized certificate of completion